Yuxuan's Homepage

PhD Candidate in CSE · University of Michigan · Systems Correctness & Reliability

Welcome! I am Yuxuan Jiang, a PhD candidate in Computer Science and Engineering at the University of Michigan, advised by Prof. Ryan Huang. I work on system correctness and reliability — building tools that help large-scale distributed, ML, and agentic systems detect when they are behaving incorrectly, even when “correctness” is never explicitly defined.

Previously, I interned at Microsoft Research (Seattle and Beijing) and received my B.Eng. from Zhejiang University and the University of Illinois Urbana-Champaign. I am actively looking for research collaborations and opportunities — feel free to reach out!

news

Mar 26, 2026	Our paper “An Agentic Framework for Triaging Incidents in Production Cloud Infrastructure” (Comfey) is accepted by FSE 2026 Industry Track!
Sep 02, 2025	TrainCheck (OSDI’25) is accepted to appear at PyTorch Conference 2025. See you in San Francisco!
Jun 30, 2025	Officially a PhD candidate! Hats off to Ryan and all the lab folks.
Mar 25, 2025	Our paper “Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks” is accepted by OSDI 2025! See you in Boston!
Dec 11, 2024	Our paper “One-Size-Fits-None: Understanding and Enhancing Slow Fault Tolerance in Modern Distributed Systems” is accepted by NSDI 2024! See you in Philadelphia!

latest posts

Aug 12, 2025	When does exploration stop being growth, and start becoming avoidance
Aug 10, 2025	On Finding Joy in Deep Work

selected publications

Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks

Yuxuan Jiang, Ziming Zhou, Boyu Xu, and 3 more authors

In Proceedings of the 19th USENIX Conference on Operating Systems Design and Implementation, Boston, MA, USA, Jul 2025

Bib PDF Code Poster Slides

@inproceedings{MLSilentBug2025OSDI,
  author = {Jiang, Yuxuan and Zhou, Ziming and Xu, Boyu and Liu, Beijie and Xu, Runhui and Huang, Peng},
  title = {Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks},
  booktitle = {Proceedings of the 19th USENIX Conference on Operating Systems Design and Implementation},
  series = {OSDI '25},
  month = jul,
  year = {2025},
  location = {Boston, MA, USA},
  bibtex_show = true,
}

An Agentic Framework for Triaging Incidents in Production Cloud Infrastructure

Yuhan Yao^*, Yuxuan Jiang^*, Minghua Ma, and 6 more authors

In Proceedings of the ACM International Conference on the Foundations of Software Engineering, Industry Track, Jul 2026

Bib

@inproceedings{Comfey2026FSE,
  author = {Yao, Yuhan and Jiang, Yuxuan and Ma, Minghua and Vaidya, Madhura and Deng, Jieren and Hu, Yigong and Bansal, Chetan and Li, Ze and Chintalapati, Murali},
  title = {An Agentic Framework for Triaging Incidents in Production Cloud Infrastructure},
  booktitle = {Proceedings of the ACM International Conference on the Foundations of Software Engineering, Industry Track},
  series = {FSE '26},
  year = {2026},
  bibtex_show = true,
}

One-Size-Fits-None: Understanding and Enhancing Slow-Fault Tolerance in Modern Distributed Systems

Ruiming Lu, Yunchi Lu, Yuxuan Jiang, and 2 more authors

In Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, Philadelphia, PA, USA, Apr 2025

Bib PDF Code Poster Slides

@inproceedings{SlowFaultStudy2025NSDI,
  author = {Lu, Ruiming and Lu, Yunchi and Jiang, Yuxuan and Xue, Guangtao and Huang, Peng},
  title = {One-Size-Fits-None: Understanding and Enhancing Slow-Fault Tolerance in Modern Distributed Systems},
  booktitle = {Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation},
  series = {NSDI '25},
  month = apr,
  year = {2025},
  location = {Philadelphia, PA, USA},
  bibtex_show = true,
}